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add unique_op #9819

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merged 10 commits into from
Dec 23, 2022
Merged

add unique_op #9819

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a7bd530
add unique_op
fangzhou2000 Dec 7, 2022
7b4b379
add and update unique_op
fangzhou2000 Dec 8, 2022
41db8dd
update unique_op on 12.13
fangzhou2000 Dec 13, 2022
794fb85
update mobilenetv1_full_api for unique_op
fangzhou2000 Dec 13, 2022
0d81d6b
update test_unique_op for unique_op
fangzhou2000 Dec 14, 2022
4a8f18b
fix test_unique_op
fangzhou2000 Dec 14, 2022
0d6f7ed
update unique_op on 12.19
fangzhou2000 Dec 19, 2022
2568560
Fix index_select_op and unique_op
fangzhou2000 Dec 19, 2022
2718edb
complate unique_op
fangzhou2000 Dec 20, 2022
2e4ed6e
rename TensorFromVector
fangzhou2000 Dec 22, 2022
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1 change: 1 addition & 0 deletions lite/kernels/host/CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -108,6 +108,7 @@ add_kernel(distribute_fpn_proposals_compute_host Host extra SRCS distribute_fpn_
add_kernel(collect_fpn_proposals_compute_host Host extra SRCS collect_fpn_proposals_compute.cc)
add_kernel(flip_compute_host Host extra SRCS flip_compute.cc)
add_kernel(unique_with_counts_compute Host extra SRCS unique_with_counts_compute.cc)
add_kernel(unique_compute Host extra SRCS unique_compute.cc)
add_kernel(roi_align_compute Host extra SRCS roi_align_compute.cc)
add_kernel(box_clip_compute Host extra SRCS box_clip_compute.cc)
add_kernel(gaussian_random_compute Host extra SRCS gaussian_random_compute.cc)
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15 changes: 15 additions & 0 deletions lite/kernels/host/index_select_compute.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,8 @@ void Index_selectCompute<T>::Run() {
auto index_ddim = index->dims();
auto output_ddim = output->dims();

if (param.dim < 0) param.dim += input_ddim.size();

int left = input_ddim.count(0, param.dim);
int middle = input_ddim[param.dim];
int right = input_ddim.count(param.dim + 1, input_ddim.size());
Expand Down Expand Up @@ -72,6 +74,19 @@ REGISTER_LITE_KERNEL(index_select,

#ifdef LITE_BUILD_EXTRA

REGISTER_LITE_KERNEL(index_select,
kHost,
kAny,
kNCHW,
paddle::lite::kernels::host::Index_selectCompute<int64_t>,
int64)
.BindInput("X", {LiteType::GetTensorTy(TARGET(kHost), PRECISION(kInt64))})
.BindOutput("Out", {LiteType::GetTensorTy(TARGET(kHost), PRECISION(kAny))})
.BindInput("Index",
{LiteType::GetTensorTy(TARGET(kHost), PRECISION(kInt64))})
.BindPaddleOpVersion("index_select", 1)
.Finalize();

REGISTER_LITE_KERNEL(index_select,
kHost,
kAny,
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